↓ Skip to main content

Plant Genomics

Overview of attention for book
Cover of 'Plant Genomics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 CRISPR/Cas-Mediated In Planta Gene Targeting
  3. Altmetric Badge
    Chapter 2 User Guide for the LORE1 Insertion Mutant Resource
  4. Altmetric Badge
    Chapter 3 Enabling Reverse Genetics in Medicago truncatula Using High-Throughput Sequencing for Tnt1 Flanking Sequence Recovery
  5. Altmetric Badge
    Chapter 4 The Generation of Doubled Haploid Lines for QTL Mapping
  6. Altmetric Badge
    Chapter 5 Assessing Distribution and Variation of Genome-Wide DNA Methylation Using Short-Read Sequencing
  7. Altmetric Badge
    Chapter 6 Circular Chromosome Conformation Capture in Plants
  8. Altmetric Badge
    Chapter 7 Genome-Wide Profiling of Histone Modifications and Histone Variants in Arabidopsis thaliana and Marchantia polymorpha
  9. Altmetric Badge
    Chapter 8 Tissue-Specific Transcriptome Profiling in Arabidopsis Roots
  10. Altmetric Badge
    Chapter 9 Sample Preparation Protocols for Protein Abundance, Acetylome, and Phosphoproteome Profiling of Plant Tissues
  11. Altmetric Badge
    Chapter 10 Automated High-Throughput Root Phenotyping of Arabidopsis thaliana Under Nutrient Deficiency Conditions
  12. Altmetric Badge
    Chapter 11 Large-Scale Phenotyping of Root Traits in the Model Legume Lotus japonicus
  13. Altmetric Badge
    Chapter 12 Long-Term Confocal Imaging of Arabidopsis thaliana Roots for Simultaneous Quantification of Root Growth and Fluorescent Signals
  14. Altmetric Badge
    Chapter 13 Identification of Protein–DNA Interactions Using Enhanced Yeast One-Hybrid Assays and a Semiautomated Approach
  15. Altmetric Badge
    Chapter 14 Mapping Protein-Protein Interaction Using High-Throughput Yeast 2-Hybrid
  16. Altmetric Badge
    Chapter 15 Mapping Protein–Protein Interactions Using Affinity Purification and Mass Spectrometry
  17. Altmetric Badge
    Chapter 16 Measuring Protein Movement, Oligomerization State, and Protein-Protein Interaction in Arabidopsis Roots Using Scanning Fluorescence Correlation Spe..
  18. Altmetric Badge
    Chapter 17 Studying Protein–Protein Interactions In Planta Using Advanced Fluorescence Microscopy
  19. Altmetric Badge
    Chapter 18 Chemiluminescence-Based Detection of Peptide Activity and Peptide-Receptor Binding in Plants
  20. Altmetric Badge
    Chapter 19 Application of Chemical Genomics to Plant–Bacteria Communication: A High-Throughput System to Identify Novel Molecules Modulating the Induction of Bacterial Virulence Genes by Plant Signals
Attention for Chapter 16: Measuring Protein Movement, Oligomerization State, and Protein-Protein Interaction in Arabidopsis Roots Using Scanning Fluorescence Correlation Spe..
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
11 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Measuring Protein Movement, Oligomerization State, and Protein-Protein Interaction in Arabidopsis Roots Using Scanning Fluorescence Correlation Spe..
Chapter number 16
Book title
Plant Genomics
Published in
Methods in molecular biology, April 2017
DOI 10.1007/978-1-4939-7003-2_16
Pubmed ID
Book ISBNs
978-1-4939-7001-8, 978-1-4939-7003-2
Authors

Natalie M. Clark, Rosangela Sozzani

Editors

Wolfgang Busch

Abstract

Scanning fluorescence correlation spectroscopy (scanning FCS) can be used to determine protein movement, oligomerization state, and protein-protein interaction. Here, we describe how to use the scanning FCS techniques of raster image correlation spectroscopy (RICS) and pair correlation function (pCF) to determine the rate and direction of protein movement. In addition, we detail how number and brightness (N&B) and cross-correlation analyses can be used to determine oligomerization state and binding ratios of protein complexes. We specifically describe how to acquire suitable images for scanning FCS analysis using the model plant Arabidopsis and how to perform the various analyses using the SimFCS software.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 45%
Researcher 2 18%
Student > Postgraduate 1 9%
Other 1 9%
Unknown 2 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 36%
Agricultural and Biological Sciences 3 27%
Mathematics 1 9%
Environmental Science 1 9%
Unknown 2 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 April 2019.
All research outputs
#8,810,431
of 14,568,570 outputs
Outputs from Methods in molecular biology
#2,645
of 8,763 outputs
Outputs of similar age
#141,624
of 264,078 outputs
Outputs of similar age from Methods in molecular biology
#6
of 36 outputs
Altmetric has tracked 14,568,570 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,763 research outputs from this source. They receive a mean Attention Score of 2.5. This one has gotten more attention than average, scoring higher than 66% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 264,078 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.